A Novel Intrusions Detection Method Based on HMM Embedded Neural Network

• Published in: Advances in Natural Computation pp. 139 - 148
• Main Authors: Jiang, Weijin, Xu, Yusheng, Xu, Yuhui
• Format: Book Chapter Conference Proceeding
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2005; Springer
• Series: Lecture Notes in Computer Science
• Subjects: Applied sciences; Artificial intelligence; Computer science; control theory; systems; Exact sciences and technology; Memory and file management (including protection and security); Memory organisation. Data processing; Software; Text; Intruder detector; Markov model; Pattern recognition; Neural network; Dynamical system; Character recognition; Modeling; Radial basis function; Database; Hidden Markov model; Robustness; Artificial intelligence; Computer security; Voice; Intrusion detection systems

Due to the excellent performance of the HMM (Hidden Markov Model) in pattern recognition, it has been widely used in voice recognition, text recognition. In recent years, the HMM has also been applied to the intrusion detection. The intrusion detection method based on the HMM is more efficient than...